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Siri N.E.
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Decks in this class (14)
Jupyter Notebook 1.1 Simple Examples
What is a classification,
In a dataset what is each row cal...,
What are dataframes
19
cards
Jupyter Notebook 1.2 - Intro to ML
What are error functions used for,
What is a hyperparameter in machi...,
What is regularization in machine...
3
cards
Jupyter Notebook 1.3-Binary_Classification
What is classification,
What is regression,
What do the notations below stand...
8
cards
Jupyter Notebook 1.4 Multiclass classification
Why is it so important to normali...,
How does the sensitivity to featu...,
Why is randomforestclassifier ins...
3
cards
Jupyter Notebook 1.5 - Regression and 1.6 - Hyperparameter
How can we convert features like ...,
What is a hyperparameter,
How do we select good hyperparame...
6
cards
Jupyter Notebook 2.1 - PolyReg_learning_curves_bias-variance
What is polynomial regression and...,
How does polynomial regression ex...,
What are bias and variance in the...
4
cards
Jupyter Notebook 2.2 - Regularization
What is regularization and how do...,
When should you use plain linear ...
2
cards
Jupyter Notebook 2.3 - Decision Trees
Why are decision trees important ...,
How do decision trees work in mac...,
What do the terms samples value a...
8
cards
Jupyter Notebook 2.4 - RandomForest and Ensembling
What are random forests and how d...,
How are random forests constructe...,
How are predictions made in rando...
8
cards
Jupyter Notebook 2.5 LinReg_GradientDescent
What are linear regression and gr...,
Gotta come back 2 shit notebook c...
2
cards
Jupyter Notebook 2.7 Exta Imputing Missing Values, 2.8 Extra Feature Scaling
Why do we use fit_transform on th...
1
cards
Kaggel
How do we select the prediction t...,
How do we choose the features,
How can we quickly review the dat...
13
cards
ML assignment 1: Theory part
In the context of machine learnin...,
What do we mean by the term featu...,
Match the task with the type of l...
15
cards
ML modul 1 Introduksjon til maskinlæring
Data preperations what are some t...,
What is imputation,
How do we represent a generic ml ...
20
cards
More about
DAT158 - Maskinlæring
- Class purpose General learning
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